Own the foundational design of the WISE data layer. Architect the environment to be AI-native, ensuring it supports both high-performance analytics and the low-latency requirements of Large Language Model (LLM) based agents.
Design and implement sophisticated data policies, Identity and Access Management (IAM) protocols, and environment management strategies to ensure secure, multi-tenant access.
Scope and design sophisticated data models for complex, intersecting domains (people, spend, objectives and key results, and programs). Ensure these models serve as the definitive Single Source of Truth (SSoT) for Google Cloud Platform (GCP) leadership.
Translate business logic into agentic-ready datasets. Optimize data structures specifically for Retrieval-Augmented Generation (RAG), vector embeddings, and tool-use by AI agents.
Onboard new domains (product, commercial metrics) while constantly refreshing the existing domains.
Minimum qualifications:
Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience.
5 years of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume).
Experience managing client-facing projects, troubleshooting technical issues, and working with engineering and sales services teams.
Preferred qualifications:
Experience building data pipelines specifically for AI agents, vector databases, or feature stores.
Experience managing data privacy and compliance in a highly regulated or large-scale corporate environment.
Strong understanding of data infrastructure concepts and ability to layout policies for a foundational data layer.
Familiarity with Google Cloud’s data stack (BigQuery, Dataflow, Pub/Sub, Vertex AI).
Ability to translate executive-level business requirements into technical data architectures.
